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However, current methods, manual hemocytometer counting and commercial computer\u2010aided sperm analysis (CASA) systems, are limited by labor intensity, human error, and variable performance under diverse sample conditions. Here, we present an artificial intelligence (AI)\u2010driven computer vision tool for high\u2010resolution, quantitative analysis of sperm motility and concentration. In a prospective study of 26 semen samples (22 patients, 4 donors), we benchmarked the AI model against manual tracking (using Fiji software) and a commercial CASA system (Hamilton Thorne IVOS II). Our method computed concentration and motility parameters, including straight\u2010line velocity (VSL), curvilinear velocity (VCL), average path velocity (VAP), linearity (LIN), amplitude of lateral head displacement (ALH\n                    <jats:sub>max<\/jats:sub>\n                    ), and beat cross frequency (BCF). Calibration using donor samples enabled accurate mapping of tracked sperm counts to concentrations. The AI tool presented a strong linear correlation with manual tracking (\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u00a0=\u00a00.93\u20130.98; Root Mean Square Error (RMSE)\u00a0=\u00a03.3\u20137.3\u00a0\u03bcm\/s for VSL, VCL, VAP), and outperformed CASA in both accuracy and consistency across all motility parameters. Post\u2010calibration, ALH\n                    <jats:sub>max<\/jats:sub>\n                    and BCF estimates improved substantially, with a 30%\u201350% reduction in RMSE. Grading of sperm motility by the AI model aligned closely with manual classification, avoiding the systematic misclassification typically observed with CASA. Furthermore, the AI system exhibited higher repeatability and robustness across duplicate samples and variable imaging conditions, with deviations below \u00b1\u20092%. These findings demonstrate that our AI\u2010based tool offers a quantitative and reliable alternative to current semen analysis platforms, supporting improved fertility diagnostics and potentially a more informative treatment process.\n                  <\/jats:p>","DOI":"10.1002\/smmd.70026","type":"journal-article","created":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T13:11:39Z","timestamp":1767964299000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An Artificial Intelligence\u2010Based Computer Vision Model for Human Sperm Concentration, Motility, and Kinematics Analysis"],"prefix":"10.1002","volume":"5","author":[{"given":"Sahar","family":"Shahali","sequence":"first","affiliation":[{"name":"Department of Mechanical and Aerospace Engineering Monash University  Clayton Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0638-2893","authenticated-orcid":false,"given":"David","family":"Mortimer","sequence":"additional","affiliation":[{"name":"Oozoa Biomedical Inc  West Vancouver British Columbia Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moira K.","family":"O'Bryan","sequence":"additional","affiliation":[{"name":"School of BioSciences Bio21 Molecular Science and Biotechnology Institute University of Melbourne  Parkville Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"McLachlan","sequence":"additional","affiliation":[{"name":"Monash IVF Group  Cremorne Australia"},{"name":"Clinical Andrology Hudson Institute of Medical Research Monash University  Clayton Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deirdre","family":"Zander\u2010Fox","sequence":"additional","affiliation":[{"name":"Monash IVF Group  Cremorne Australia"},{"name":"Biomedicine Discovery Institute Monash University  Clayton Australia"},{"name":"School of Biomedicine University of Adelaide  Adelaide Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7693-8538","authenticated-orcid":false,"given":"Klaus","family":"Ackermann","sequence":"additional","affiliation":[{"name":"SoDa Labs and Department of Econometrics and Business Statistics Monash Business School  Clayton Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gulfam","family":"Ahmad","sequence":"additional","affiliation":[{"name":"Andrology Royal Children's Hospital  Melbourne Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adrian","family":"Neild","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Aerospace Engineering Monash University  Clayton 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